TensorFlow.js Metrics Complete Reference Improve Improve Like Article Like Save Share Report TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. Metrics functions are used to manipulate the matrices. TensorFlow.js Metrics functions: TensorFlow.js tf.metrics.binaryAccuracy() Function TensorFlow.js tf.metrics.binaryCrossentropy() Function TensorFlow.js tf.metrics.categoricalAccuracy() Function TensorFlow.js tf.metrics.categoricalCrossentropy() Function TensorFlow.js tf.metrics.cosineProximity() Function TensorFlow.js tf.metrics.meanAbsoluteError() Function TensorFlow.js tf.metrics.meanAbsolutePercentageError() Function TensorFlow.js tf.metrics.meanSquaredError() Function TensorFlow.js tf.metrics.precision() Function TensorFlow.js tf.metrics.recall() Function TensorFlow.js tf.metrics.sparseCategoricalAccuracy() Function Last Updated : 21 Apr, 2022 Like Article Save Article Previous Tensorflow.js tf.metrics.sparseCategoricalAccuracy() Function Next Tensorflow.js tf.initializers.Initializer Class Share your thoughts in the comments Add Your Comment Please Login to comment...